Individuals Below Poverty Level (Census ACS)

Individuals Below Poverty Level (Census ACS)

The number of individuals with income below the federal poverty level divided by the total number of individuals with known income, expressed as a percentage.

Poverty and poor health are inextricably linked. While on the surface poverty is often defined as a lack of income or assets, in the day-to-day lives of the very poor, poverty becomes a network of disadvantages, each one exacerbating the others. The result is people who lack access to education, health care, adequate housing, proper sanitation, and good nutrition. They are the most vulnerable to disasters, armed conflict, and systems of political and economic oppression. These conditions often carry with them dysfunctional family and societal relationships and low self-esteem.

In 2022, the percentage of Individuals Below Poverty Level (Census ACS) in Alachua County was 20.2 compared to Florida at 12.9. The line graph shows change over time when there are at least three years of data.

Alachua County is in the fourth quartile for this measure. This means that relative to other counties in Florida, the percentage of Individuals Below Poverty Level (Census ACS) is less in about three quarters of the counties.

The map illustrates county data by quartile. A quartile map is presented when there are at least 51 counties with data for this measure.

Links:   Healthy People 2030 | Other Resource
Alachua County
Individuals Below Poverty Level (Census ACS), Single Year
Click on county name or “Florida” in the legend to hide or show the county or state.
Individuals Below Poverty Level (Census ACS), Percentage of Census Population for Whom Poverty Status is Determined, Single Year  
AlachuaFlorida
Data YearCountDenomPercent (%)MOVCountDenomPercent (%)MOV
202253,070262,95020.2*0.22,725,63321,171,70012.90.0
202152,902262,92020.1*0.22,744,61220,928,21913.10.0
202052,647254,19820.7*0.22,772,93920,793,62813.30.0
201953,601251,01721.4*0.22,870,48720,481,25214.00.0
201854,072248,13121.8*0.22,983,85120,178,54414.80.0
201757,060244,55423.3*0.23,070,97219,858,46915.50.0
201658,387241,13624.2*0.23,139,25819,514,33416.10.0
201558,203239,10424.3*0.23,180,10919,228,20816.50.0
201460,066236,83425.4*0.23,159,25918,946,21516.70.0
201358,496234,91924.9*0.23,052,80718,681,56516.30.0
201255,398232,92123.8*0.22,887,15118,479,27315.60.0
201154,318230,58023.6*0.22,679,40018,282,51114.70.0
201053,992228,89523.6*0.22,502,36518,107,04913.80.0
200954,465225,96624.1*0.22,346,94617,811,89213.20.0
Florida
Individuals Below Poverty Level (Census ACS), Percent, 2022
*Mouseover map to see county name and value.   * Click a legend category to hide or show that category.
Individuals Below Poverty Level (Census ACS), Percent, 2022    
CountyCountDenomPercent (%)MOV
Florida2,725,63321,171,70012.90.0
Alachua53,070262,95020.2*0.2
Baker3,39824,83413.7*0.4
Bay21,755178,34812.2*0.2
Bradford4,35223,93718.2*0.5
Brevard60,927602,97110.1*0.1
Broward238,8801,922,90212.4*0.0
Calhoun2,37411,92819.9*0.7
Charlotte19,490185,83510.5*0.1
Citrus22,833152,19915.0*0.2
Clay20,352217,3149.4*0.1
Collier39,131376,54910.4*0.1
Columbia10,19665,00415.7*0.3
Miami-Dade403,9972,647,75215.3*0.0
DeSoto8,60132,59426.4*0.5
Dixie2,44515,14416.1*0.6
Duval139,341971,88914.3*0.1
Escambia44,874302,15914.9*0.1
Flagler11,382116,4429.8*0.2
Franklin2,32510,73021.7*0.8
Gadsden10,46040,94325.5*0.4
Gilchrist2,11517,00912.40.5
Glades2,38210,89421.9*0.8
Gulf1,52212,34912.30.6
Hamilton2,82210,68026.4*0.8
Hardee6,73123,63928.5*0.6
Hendry8,72939,15522.3*0.4
Hernando24,134193,55112.5*0.1
Highlands15,742100,69015.6*0.2
Hillsborough197,3691,443,24813.7*0.1
Holmes2,94917,75016.6*0.5
Indian River18,221159,43611.4*0.2
Jackson7,78740,50419.2*0.4
Jefferson2,41413,16818.3*0.7
Lafayette1,3066,75319.3*0.9
Lake36,977381,9439.7*0.1
Lee89,142761,81411.7*0.1
Leon53,940277,39919.4*0.1
Levy6,71842,90115.7*0.3
Liberty1,3756,31421.8*1.0
Madison3,61116,08722.4*0.6
Manatee40,670399,86210.2*0.1
Marion52,923368,45014.4*0.1
Martin16,391155,84410.5*0.2
Monroe9,48080,98811.7*0.2
Nassau8,34390,6149.2*0.2
Okaloosa20,998206,30110.2*0.1
Okeechobee7,11337,02419.2*0.4
Orange187,4541,387,66813.5*0.1
Osceola52,441390,52513.4*0.1
Palm Beach166,9381,469,93811.4*0.1
Pasco66,197560,24111.8*0.1
Pinellas107,865940,49211.5*0.1
Polk106,728720,03014.8*0.1
Putnam16,50672,23722.8*0.3
St. Johns18,720275,4916.8*0.1
St. Lucie41,337331,22312.5*0.1
Santa Rosa16,407183,3678.9*0.1
Sarasota35,122431,3358.1*0.1
Seminole44,796466,4549.6*0.1
Sumter11,443123,5459.3*0.2
Suwannee5,99941,62514.4*0.3
Taylor2,77718,36415.1*0.5
Union1,65610,41515.9*0.7
Volusia66,328544,16912.2*0.1
Wakulla1,88830,7076.1*0.3
Walton7,89874,88010.5*0.2
Washington5,04622,20322.7*0.6
4/22/2024 8:51:28 AM

Data Note(s)


Data Source: United States Bureau of the Census, American Community Survey, Table B17001

  • Chart will display if there are at least three years of data.

  • Multi-year counts are a sum of the selected years, not an average.

  • Quartiles are calculated when data is available for at least 51 counties.

  • MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.

  • Denom - abbreviated for Denominator.

  • Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.

  • * - Indicates the county rate is statistically significantly different from the statewide rate.

  • Number of individuals with incomes below 100% of the poverty level divided by the total number of individuals, expressed as a percentage.
  • Data displayed reflect the American Community Survey 5-year estimates for the year selected.
  • Chart will display if there are at least three years of data.
  • Quartiles are calculated when data are available for at least 51 counties.
  • This is secondary, quantitative data.